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Automated Support for Building Behavioral Models of Event-Driven Systems

  • Benet Devereux
  • Marsha Chechik
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3922)

Abstract

Programmers understand a piece of software by building simplified mental models of it. Aspects of these models lend themselves naturally to formalization – e.g., structural relationships can be partly captured by module dependency graphs. Automated support for generating and analyzing such structural models has proven useful. For event-driven systems, behavioral models, which capture temporal and causal relationships between events, are important and deserve similar methodological and tool support. In this paper, we describe such a technique. Our method supports building and elaboration of behavioral models, as well as maintaining such models as systems evolve. The method is based on model-checking and witness generation, using strategies to create goal-driven simulation traces. We illustrate it on a two-lift/three-floor elevator system, and describe our tool, Sawblade, which provides automated support for the method.

Keywords

Mental Model Temporal Logic Atomic Proposition Proof Obligation Kripke Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Benet Devereux
    • 1
  • Marsha Chechik
    • 1
  1. 1.Department of Computer ScienceUniversity of TorontoTorontoCanada

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